G. Taulya

122 total papers · 1.7k total citations
61 papers, 959 citations indexed

About

G. Taulya is a scholar working on Plant Science, General Agricultural and Biological Sciences and Agronomy and Crop Science. According to data from OpenAlex, G. Taulya has authored 61 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 15 papers in General Agricultural and Biological Sciences and 13 papers in Agronomy and Crop Science. Recurrent topics in G. Taulya's work include Banana Cultivation and Research (19 papers), Agricultural Innovations and Practices (11 papers) and Cassava research and cyanide (9 papers). G. Taulya is often cited by papers focused on Banana Cultivation and Research (19 papers), Agricultural Innovations and Practices (11 papers) and Cassava research and cyanide (9 papers). G. Taulya collaborates with scholars based in Uganda, Netherlands and Kenya. G. Taulya's co-authors include Piet van Asten, K.E. Giller, Katrien Descheemaeker, Mark T. van Wijk, A.M. Fermont, G.W.J. van de Ven, ‪João Vasco Silva, Régis Chikowo, Jens Andersson and Thomas Delaune and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Sustainability.

In The Last Decade

G. Taulya

53 papers receiving 907 citations

Hit Papers

The future of farming: Wh... 2021 2026 2022 2024 2021 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Taulya 454 256 185 169 106 61 959
Frieder Graef 346 0.8× 267 1.0× 212 1.1× 195 1.2× 90 0.8× 78 1.1k
Steven J. Vanek 333 0.7× 200 0.8× 238 1.3× 123 0.7× 75 0.7× 36 907
Ricardo Salvador 574 1.3× 411 1.6× 130 0.7× 244 1.4× 163 1.5× 40 1.1k
B. P. Bhatt 538 1.2× 123 0.5× 147 0.8× 177 1.0× 150 1.4× 108 1.1k
Mary H. Wiedenhoeft 471 1.0× 457 1.8× 231 1.2× 149 0.9× 267 2.5× 33 1.1k
Niklas Möhring 392 0.9× 302 1.2× 131 0.7× 90 0.5× 49 0.5× 39 907
Diane Rickerl 483 1.1× 397 1.6× 170 0.9× 119 0.7× 126 1.2× 22 922
Florence Jacquet 272 0.6× 251 1.0× 120 0.6× 126 0.7× 67 0.6× 31 811
Anja Faße 333 0.7× 248 1.0× 116 0.6× 88 0.5× 80 0.8× 39 937
Paola Migliorini 637 1.4× 216 0.8× 125 0.7× 107 0.6× 129 1.2× 56 1.1k

Countries citing papers authored by G. Taulya

Since Specialization
Citations

This map shows the geographic impact of G. Taulya's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Taulya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Taulya more than expected).

Fields of papers citing papers by G. Taulya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Taulya. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Taulya. The network helps show where G. Taulya may publish in the future.

Co-authorship network of co-authors of G. Taulya

This figure shows the co-authorship network connecting the top 25 collaborators of G. Taulya. A scholar is included among the top collaborators of G. Taulya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Taulya. G. Taulya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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